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D. C. Ganskopp and Cruz, R., Selective differences between naive and experienced cattle foraging among eight grasses, Applied Animal Behaviour Science, vol. 62, no. 4, pp. 293 - 303, 1999.
D. C. Ganskopp and Vavra, M., Slope Use by Cattle, Feral Horses, Deer, and Bighorn Sheep, Northwest Science, vol. 61, 1987.
D. C. Ganskopp, Svejcar, T., Taylor, F., Farstvedt, J., and Paintner, K. J., Seasonal Cattle Management in 3 to 5 Year Old Bitterbrush Stands, Journal of Range Management, vol. 52, no. 2, p. 166, 1999.
Y. Gao, Lei, Z., Abe, Y., and Reitz, S. R., Species Displacements are Common to Two Invasive Species of Leafminer Fly in China, Japan, and the United States, Journal of Economic Entomology, vol. 104, no. 6, pp. 1771 - 1773, 2011.
Y. Gao, Lei, Z., Abe, Y., and Reitz, S. R., Species displacements are common to two invasive species of leafminer fly in China, Japan, and the United States., J Econ Entomol, vol. 104, no. 6, pp. 1771-3, 2011.
R. Aleyda García, Chiaia-Hernández, A. C., Lara-Martin, P. A., Loos, M., Hollender, J., Oetjen, K., Higgins, C. P., and Field, J., Suspect Screening of Hydrocarbon Surfactants in AFFFs and AFFF-Contaminated Groundwater by High-Resolution Mass Spectrometry, Environmental Science & Technology, vol. 53, no. 14, pp. 8068 - 8077, 2019.
G. R. Garcia, Shankar, P., Dunham, C. L., Garcia, A., La Du, J. K., Truong, L., Tilton, S. C., and Tanguay, R. L., Signaling Events Downstream of AHR Activation That Contribute to Toxic Responses: The Functional Role of an AHR-Dependent Long Noncoding RNA () Using the Zebrafish Model., Environ Health Perspect, vol. 126, no. 11, p. 117002, 2018.
A. Gawde, Cantrell, C. L., Zheljazkov, V. D., Astatkie, T., and Schlegel, V., Steam distillation extraction kinetics regression models to predict essential oil yield, composition, and bioactivity of chamomile oil , Industrial Crops and Products, vol. 58, pp. 61-67, 2014.
A. Gawde, Cantrell, C. L., Zheljazkov, V. D., Astatkie, T., and Schlegel, V., Steam distillation extraction kinetics regression models to predict essential oil yield, composition, and bioactivity of chamomile oil, Industrial Crops and Products, vol. 58, pp. 61 - 67, 2014.
M. C. Geier, D Minick, J., Truong, L., Tilton, S., Pande, P., Anderson, K. A., Teeguardan, J., and Tanguay, R. L., Systematic developmental neurotoxicity assessment of a representative PAH Superfund mixture using zebrafish., Toxicol Appl Pharmacol, vol. 354, pp. 115-125, 2018.
S. A. Genualdi, Hageman, K. J., Ackerman, L. K., Usenko, S., and Simonich, S. L. Massey, Sources and fate of chiral organochlorine pesticides in western U.S. National Park ecosystems, Environmental Toxicology and Chemistry, vol. 30, no. 7, pp. 1533 - 1538, 2011.
D. P. German, Chacon, S. S., and Allison, S. D., Substrate concentration and enzyme allocation can affect rates of microbial decomposition , Ecology, vol. 54, 2011.
R. Ghimire, Machado, S., and Bista, P., Soil pH, soil organic matter, and Crop Yield in Wheat-Fallow Systems, Agronomy Journal, vol. 109, pp. 1-12, 2017.
M. P. Gilmore, Endress, B. A., and Horn, C. M., The socio-cultural importance of Mauritia flexuosa palm swamps (aguajales) and implications for multi-use management in two Maijuna communities of the Peruvian Amazon, Journal of Ethnobiology and Ethnomedicine, vol. 9, no. 1, p. 29, 2013.
M. P. Gilmore, Endress, B. A., Horn, C. M., and , The socio-cultural importance of Mauritia flexuosa palm swamps (aguajales) and implications for multi-use management in two Maijuna communities of the Peruvian Amazon, J Ethnobiol Ethnomed, vol. 9, pp. 29–52, 2013.
A. L. Ginzburg, Truong, L., Tanguay, R. L., and Hutchison, J. E., Synergistic Toxicity Produced by Mixtures of Biocompatible Gold Nanoparticles and Widely Used Surfactants., ACS Nano, 2018.
S. P. Good, Mallia, D. V., Lin, J. C., and Bowen, G. J., Stable isotope analysis of precipitation samples obtained via crowdsourcing reveals the spatiotemporal evolution of superstorm sandy, PloS one, vol. 9, p. e91117, 2014.
S. P. Good, Mallia, D. V., Lin, J. C., and Bowen, G. J., Stable isotope analysis of precipitation samples obtained via crowdsourcing reveals the spatiotemporal evolution of Superstorm Sandy., PLoS One, vol. 9, no. 3, p. e91117, 2014.

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